matlab部分IPT函数的运用

一种带有自适应阈值和动态支持区域的CSS角点检测算法，其效果被认为优于目前所有的CSS角点检测算法和大多数的其他类型角点检测算法。(a curvature scale space corner detector with adaptive threshold and dynamic region of support, it is considered to be the one of the best corner detection algorithms.)

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

说明：  区域生长算法，用于图像分割。 运行RunGrow.m 修改文件名即可。(Region growing algorithm for image segmentation. Run RunGrow.m modify the file name.)

图像处理 matlab图像压缩程序， 包括图像压缩的各种技术(image processing image compression in matlab, including technologies in image compression)

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

计算机视觉中，structure from motion的代码(computer vision, structure from motion code)

这是一个matlab关于分数阶混沌的源程序代码，通过该程序可画出混沌图，这对初学者很有帮助。我已经调试过了。(This is a matlab fractional order to chaos on the source program code, through the program can draw a picture of the fractional order, to beginners helpful. I have the commissioning)

特征提取是图像配准的重要步骤，使用Harris角点检测算法实现图像拼接。(Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.)

自适应正则化的超分辨率重建程序，采用L1L2范数。(Adaptive Regularized super-resolution reconstruction of the program, using L1L2 norm.)

基于马尔可夫随机场(MRF)、条件迭代算法ICM的图像分割源码(The MRF, the ICM-based image segmentation source code to source image segmentation based on the MRF ICM)